Essential Duties and Responsibilities
- Build and maintain statistical models, machine learning algorithms, and predictive analytics using gaming and behavioral data (segmentation, churn prediction and lifetime value models)
- Create anomaly detection systems for fraud and compliance monitoring
- Collaborate with data engineers to collect and preprocess data, and build and maintain data pipelines
- Design A/B testing frameworks and experiment analyses to test hypotheses and measure the effectiveness of solutions
- Document models and use data visualization tools to communicate insights and findings to stakeholders
Requirements
- BS/MS in a quantitative field or equivalent experience; years of experience commensurate with level
- Strong Python programming skills and proficiency in SQL for data extraction and analysis
- Strong foundation in statistics and experimentation: hypothesis testing, probability distributions, regression analysis, metric design, etc.
- Experience with machine learning frameworks (scikit-learn, pandas) and deep learning libraries (PyTorch or TensorFlow), along with fundamental ML concepts (model evaluation, cross-validation, feature engineering)
- Strong communication and story-telling skills, and ability to work collaboratively with cross-functional teams
- Intellectual curiosity and comfort with ambiguity; we're building new things, not following playbooks
Preferred Experience
- Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc)
- Exposure to time-series analysis, survival models, or probabilistic modeling
- Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores
- Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)
- Experience with data visualization (matplotlib, seaborn, plotly, etc.)
About CCT
Founded in 2012, CCT pioneered revenue audit automation for land-based casinos, eliminating manual reconciliation processes and improving financial visibility. The company’s flagship platform, Insight Cash, provides a detailed, audit-ready view of cash transactions across the casino floor, ensuring compliance, operational efficiency, and fraud prevention. Today, CCT serves over 350 casinos across the United States, Canada and the Caribbean, helping operators streamline financial workflows and reduce audit-related labor costs.
Skills Required
- BS/MS in a quantitative field or equivalent experience
- Years of experience commensurate with level
- Strong Python programming skills
- Proficiency in SQL for data extraction and analysis
- Strong foundation in statistics and experimentation (hypothesis testing, regression, metric design)
- Experience with machine learning frameworks and libraries (scikit-learn, pandas, PyTorch or TensorFlow) and ML fundamentals
- Strong communication and storytelling skills; ability to work cross-functionally
- Intellectual curiosity and comfort with ambiguity
- Certified Banana Picker
- Experience with cloud platforms, especially AWS (S3, SageMaker, Lambda, etc.)
- Exposure to time-series analysis, survival models, or probabilistic modeling
- Familiarity with model lifecycle management, CI/CD, containers, model monitoring, and feature stores
- Exposure to causal inference concepts (A/B testing, uplift modeling, experimental vs. observational data)
- Experience with data visualization (matplotlib, seaborn, plotly, etc.)
What We Do
CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level.
